Real-Time Optimization Strategy of Multi-Microgrid Considering Bilateral Bidding Transaction

To actively accommodate the growth of distributed renewable energy and enhance the operational stability of microgrid systems, this paper proposes a real-time optimization strategy for multi-microgrids, which incorporates a bilateral bidding transaction mechanism. Comprehensively consider the scene of both competition and cooperation between the main bodies, by judging the microgrid surplus information microgrid aggregators based on bilateral bidding transaction strategy to provide reliable scheduling data for the control center. The aim of the real-time optimization phase is to minimize the total cost of the multi-microgrid system, enhance overall economic advantages, and facilitate better energy sharing within the system. Lastly, a numerical example is supplied to confirm the efficacy of the proposed method.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/ifeea64237.2024.10878604
Primary Topic
Power Systems and Renewable Energy
Type
article
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Real-Time Optimization Strategy of Multi-Microgrid Considering Bilateral Bidding Transaction

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Power Systems and Renewable Energy
article

Real-Time Optimization Strategy of Multi-Microgrid Considering Bilateral Bidding Transaction

Ciyuan Zhang, Yuxuan Li, Ying Wang, Gang Li, Xueli Guo
article en

Abstract

To actively accommodate the growth of distributed renewable energy and enhance the operational stability of microgrid systems, this paper proposes a real-time optimization strategy for multi-microgrids, which incorporates a bilateral bidding transaction mechanism. Comprehensively consider the scene of both competition and cooperation between the main bodies, by judging the microgrid surplus information microgrid aggregators based on bilateral bidding transaction strategy to provide reliable scheduling data for the control center. The aim of the real-time optimization phase is to minimize the total cost of the multi-microgrid system, enhance overall economic advantages, and facilitate better energy sharing within the system. Lastly, a numerical example is supplied to confirm the efficacy of the proposed method.

Xiamen University of Technology (CN)
Openalex Percentile: Top 69%
Power Systems and Renewable Energy
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